Dataset Information

Psychometric Network Analysis of the Hungarian WAIS.

ABSTRACT: The positive manifold-the finding that cognitive ability measures demonstrate positive correlations with one another-has led to models of intelligence that include a general cognitive ability or general intelligence (g). This view has been reinforced using factor analysis and reflective, higher-order latent variable models. However, a new theory of intelligence, Process Overlap Theory (POT), posits that g is not a psychological attribute but an index of cognitive abilities that results from an interconnected network of cognitive processes. These competing theories of intelligence are compared using two different statistical modeling techniques: (a) latent variable modeling and (b) psychometric network analysis. Network models display partial correlations between pairs of observed variables that demonstrate direct relationships among observations. Secondary data analysis was conducted using the Hungarian Wechsler Adult Intelligence Scale Fourth Edition (H-WAIS-IV). The underlying structure of the H-WAIS-IV was first assessed using confirmatory factor analysis assuming a reflective, higher-order model and then reanalyzed using psychometric network analysis. The compatibility (or lack thereof) of these theoretical accounts of intelligence with the data are discussed.

SUBMITTER: Schmank CJ

PROVIDER: S-EPMC6789747 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Psychometric Network Analysis of the Hungarian WAIS.

Schmank Christopher J CJ Goring Sara Anne SA Kovacs Kristof K Conway Andrew R A ARA

Journal of Intelligence 20190909 3

The positive manifold-the finding that cognitive ability measures demonstrate positive correlations with one another-has led to models of intelligence that include a general cognitive ability or general intelligence (<i>g</i>). This view has been reinforced using factor analysis and reflective, higher-order latent variable models. However, a new theory of intelligence, Process Overlap Theory (POT), posits that <i>g</i> is not a psychological attribute but an index of cognitive abilities that res ...[more]

PMID: 31505834

Similar Datasets

Project description:ObjectivesReliable and valid assessment of subjective risk perception is a crucial part of cardiovascular disease (CVD) prevention and rehabilitation. Since the recently developed Attitudes and Beliefs about Cardiovascular Disease (ABCD) Risk Questionnaire complies with these requirements, the aim of the present study was to investigate the psychometric properties of the Hungarian version of the measure.Design and settingCommunity-based cross-sectional observational study PARTICIPANTS: In sum, 410 (M=49.53 years, SD=8.09) Hungarian adults (inclusion criteria: aged 35 and above, not under treatment with a psychiatric disorder) were included in the present study (female: n=277, 67.6%; college or university-level education: n=247, 60.2%).MethodsWe translated the ABCD Risk Questionnaire into Hungarian and checked its psychometric properties and validity indices.Primary outcome measuresInternal consistency, explorative and confirmative factorial validity. Associations with sociodemographic and health-related characteristics, as well as with measures of mental health (depressive symptoms, perceived stress and well-being).ResultsExploratory and confirmatory factor analyses supported a three-factor solution, corresponding to the original subscales of Risk Perception, Perceived Benefits and Healthy Eating Intentions, with a moderate correlation between the latent constructs. The respondents' level of knowledge on CVD risk factors was largely independent of their subjective risk perception. The results also provided evidence on the weak-to-medium associations between mental health indices and CVD-related perceptions. Based on the results, a shortened scale version was also suggested.ConclusionThis study confirms the factorial structure, internal consistency and validity of the Hungarian version of the ABCD Risk Questionnaire in a non-English-speaking community sample. The ABCD Risk Perception Questionnaire is a parsimonious and psychometrically adequate measure to assess CVD-related attitudes and knowledge in the general population. Further research is needed in socioeconomically more diverse and in clinical samples, as well as in longitudinal intervention studies.

Project description:BACKGROUND:The Opening Minds Stigma Scale for Health Care Providers (OMS-HC) is a widely used questionnaire to measure the stigmatising attitudes of healthcare providers towards patients with mental health problems. The psychometric properties of the scale; however, have never been investigated in Hungary. We aimed to thoroughly explore the factor structure of the OMS-HC and examine the key psychometric properties of the Hungarian version. METHODS:The OMS-HC is a self-report questionnaire that measures the overall stigmatising attitude by a total score, and three subscales can be calculated: Attitude, Disclosure and Help-seeking, and Social Distance. Our study population included specialists and trainees in adult and child psychiatry (n?=?211). Exploratory and confirmatory factor analyses were performed, and higher-order factors were tested. We calculated the test-retest reliability on a subgroup of our sample (n?=?31) with a follow-up period of 1 month. The concurrent validity of the scale was measured with the Mental Illness: Clinician's Attitudes-4 scale (MICA-4). RESULTS:Three factors were extracted based on a parallel-analysis. A bifactor solution (a general factor and three specific factors) showed an excellent model-fit (root mean square error of approximation?=?0.025, comparative fit index?=?0.961, and Tucker-Lewis index?=?0.944). The model-based reliability was low; however, the general factor showed acceptable reliability (coefficient omega hierarchical =?0.56). The scale demonstrated a good concurrent validity with the MICA-4 [intraclass correlation coefficient (ICC)?=?0.77]. The test-retest reliability was excellent for the general factor (ICC?=?0.95) and good for the specific factors (ICC?=?0.90, 0.88, and 0.84, respectively). CONCLUSIONS:The three dimensions of the OMS-HC was confirmed, and the scale was found to be an adequate measure of the stigmatising attitude in Hungary. The bifactor model is more favourable as compared to the three correlated factor model; however, despite the excellent internal structure, its model-based reliability was low.

Dataset Information

Psychometric Network Analysis of the Hungarian WAIS.

Publications

Psychometric Network Analysis of the Hungarian WAIS.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets